Triple
T15536552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillermo Vilas |
E370360
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vilas |
E370360
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vilas | Statement: [Guillermo Vilas, familyName, Vilas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilas Context triple: [Guillermo Vilas, familyName, Vilas]
-
A.
Vilas
chosen
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
-
B.
Rintoul
Rintoul is a Scottish-origin surname borne by various notable figures, including journalists, actors, and politicians.
-
C.
Otsego
Otsego is a small city in southwestern Michigan known historically for its paper mills and location along the Kalamazoo River.
-
D.
Odiongan
Odiongan is a coastal municipality on Tablas Island in Romblon province, Philippines, serving as a local commercial and transportation hub in the region.
-
E.
Alcona
Alcona is a residential community within the town of Innisfil, Ontario, known for its proximity to Lake Simcoe and its role as one of the area's primary population centres.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4556ad008190a411ccd3ef0d1e89 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:06 a.m.